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KAUST-IAMCS Workshop on Multiscale Modeling, Advanced Discretization Techniques, and Simulation of Wave Propagation

Bangti Jin, Texas A&M University
Sparsity Reconstruction in Electrical Impedance Tomography

Abstract

Electrical impedance tomography is a diffusive imaging modality for determining the conductivity distribution of an object from boundary measurements. We present a new approach based on the sparsity concept. Theoretical analysis and numerical results are shown. Evaluation on real experimental data with water tank is also reported.